How best to evaluate a saliency model's ability to predict where humans look in images is an
open research question. The choice of evaluation metric depends on how saliency is …

This paper presents a review of the region of interest-based (ROI) image retrieval
techniques. In this study, the techniques, the performance evaluation parameters, and …

Advances in data storage and image acquisition technologies have enabled the creation of
large image datasets. In this scenario, it is necessary to develop appropriate information …

A new image feature description based on the local wavelet pattern (LWP) is proposed in
this paper to characterize the medical computer tomography (CT) images for content-based …

Content-based copy retrieval (CBCR) aims at retrieving in a database all the modified
versions or the previous versions of a given candidate object. In this paper, we present a …

We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid
in medical fields. In the proposed system, images are indexed in a generic fashion, without …

Many computational models of visual attention performing well in predicting salient areas of
2D images have been proposed in the literature. The emerging applications of stereoscopic …

Abstract Information retrieval systems are getting more attention in the era of multimedia
technologies such as an image, video, audio and text files. The large numbers of images are …

In recent years, a rapid increase in the size of digital image databases has been observed.
Everyday gigabytes of images are generated. Consequently, the search for the relevant …

In this study, a novel technique for image retrieval based on selective regions matching
using region codes is presented. All images in the database are uniformly divided into …